{"id":"W3138374036","doi":"10.1007/978-981-15-9829-6_39","title":"Impact and Scope of Electric Power Generation Demand Using Renewable Energy Resources Due to COVID-19","year":2021,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renewable energy; Coronavirus disease 2019 (COVID-19); Scope (computer science); Electricity generation; Electricity demand; Electricity; Pandemic; Business; Globe; Mains electricity; Natural resource economics; Environmental economics; Power (physics); Engineering; Economics; Geography; Electrical engineering; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004138655,0.0001977693,0.0002180112,0.0007006948,0.0002644279,0.001403132,0.0003858235,0.0003972794,0.01085537],"category_scores_gemma":[0.001337298,0.000128227,0.0003047492,0.001025066,0.0002331085,0.001121972,0.0006582547,0.0006862601,0.0009589727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156698,"about_ca_system_score_gemma":0.0005300668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006882907,"about_ca_topic_score_gemma":0.01691836,"domain_scores_codex":[0.9996992,0.00006094962,0.00001225901,0.00004518967,0.0001187633,0.00006355067],"domain_scores_gemma":[0.999116,0.0004520319,0.0000780876,0.00003233061,0.0002542112,0.00006732124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003289738,0.0005688071,0.2990374,0.0009865164,0.000283348,0.004009538,0.001752318,0.1030097,0.02345386,0.2250741,0.08859958,0.2499351],"study_design_scores_gemma":[0.00004359394,0.000507483,0.6726641,0.0003468508,0.0001600551,0.001889429,0.004422989,0.08349702,0.01313463,0.03487342,0.188325,0.0001353778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5753044,0.003155824,0.001908307,0.00240592,0.0002459525,0.00001883502,0.00929876,0.00009110734,0.4075709],"genre_scores_gemma":[0.9571705,0.001211265,0.0002631439,0.0001449292,0.00007202172,0.000009335003,0.002654926,0.00005112021,0.03842285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085537,"threshold_uncertainty_score":0.03631485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335132082178267,"score_gpt":0.271531170278515,"score_spread":0.2381798494567323,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}